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AI Datacenter Design & Build

From architecture to 24/7 operations — entrust your AI infrastructure to the AI Datacenter Engineers team.

We don’t just deliver hardware — we build a complete ecosystem

Our specialized engineering team provides a full service

Design
Build

Operate

We design high-performance cooling and power solutions, deploy NVIDIA DGX/HPC clusters, and ensure continuous monitoring and operation.

WHAT DOES A FULL-CYCLE AI DATA CENTER DELIVERY INCLUDE?

End-to-end architecture and design
Our engineers design energy-efficient data centers optimized for HPC and AI workloads, combining advanced cooling, security solutions, and scalability.
Data center construction and integration
We don’t just design — we deliver full implementation: power and cooling infrastructure, site preparation, and deployment of network and server architecture.
NVIDIA DGX and HPC cluster deployment
Our team specializes in deploying NVIDIA DGX systems, GPU servers, and AI/HPC clusters, optimizing performance, ensuring compatibility with existing infrastructure, and providing unified management for easier administration.
24/7 monitoring and operations
AI environments require continuous monitoring, performance analytics, and fast incident response. We provide full operational management to keep your data center stable, secure, and efficient.

WHY DO COMPANIES CHOOSE

DATAKOM + AI DATACENTER ENGINEERS

AI and HPC engineering team

A specialized AI and HPC engineering team with international experience.

Full-cycle delivery in one place

from concept and architecture to construction, cluster configuration, and ongoing operations.

Vendor-independent approach

we select solutions that best match your performance and budget requirements.

Faster time to AI value

a precisely designed and optimized data center enables quicker AI model deployment and accelerates research and business processes.

WHO IS THIS SOLUTION FOR?

Get a full AI infrastructure ecosystem, not just hardware.

We deliver a complete Design–Build–Operate lifecycle — from architecture and cooling solutions to NVIDIA DGX cluster deployment and 24/7 monitoring. 

Organizations planning to build an AI or HPC computing center

Companies looking to scale GPU capacity or migrate to the NVIDIA DGX platform

Institutions that require high data security and on-premises infrastructure

Startups and research centers that need a flexible and reliable AI environment

FREQUENTLY ASKED QUESTIONS (FAQ)

An AI data center is a purpose-built infrastructure designed to run GPUs, NVIDIA DGX systems, high-performance computing (HPC) servers, and compute-intensive workloads.

Key differences include:

  • Higher power and cooling requirements
  • Higher equipment density
  • Specialized network architecture (e.g., InfiniBand)
  • Optimized room layout and airflow design

Traditional data centers are often not designed to support modern AI workloads efficiently.

We begin with an analysis of performance, data volume, security, and scalability requirements. Key questions include:

  • How many GPUs and what type of clusters are required?
  • Is NVIDIA DGX or another HPC platform planned?
  • What power and cooling capacity is available?
  • What is the expected infrastructure growth over the next 12–36 months?

This ensures an energy-efficient architecture that can scale with future workloads.

Depending on project size and complexity, typical timelines are:

  • 4–6 weeks – architecture and technical design
  • 2–5 months – site preparation, power, and cooling infrastructure
  • 1–3 weeks – NVIDIA DGX/HPC integration and configuration

The full cycle usually takes 3–8 months.

Yes. Many clients choose to modernize their current infrastructure by:

  • Expanding power and cooling capacity
  • Upgrading network and server architecture
  • Integrating GPU clusters
  • Adapting facilities for higher-density equipment

This allows a transition to AI computing without a complete rebuild.

Yes — thanks to a modular approach.

We provide solutions for:

  • Small installations (desktop-sized systems or single 2U racks)
  • Mid-sized organizations (10U and larger systems, including distributed clusters)
  • Large national-scale HPC centers

AI infrastructure is tailored to your business size, budget, and performance needs.

Cooling options depend on power density:

  • Air cooling – suitable for smaller GPU clusters
  • Liquid cooling – ideal for intensive AI workloads and DGX systems
  • Direct-to-chip and rear-door cooling – energy-efficient and quiet

We select the cooling model that delivers maximum performance with optimal cost efficiency.

Yes. Our full-cycle service includes:

  • Continuous infrastructure monitoring
  • Alerting and incident management
  • Performance analytics and optimization
  • Regular reporting and recommendations
  • Proactive security monitoring

This ensures your AI data center operates securely and efficiently at all times.

Costs depend on several factors:

  • Selected GPU/DGX infrastructure
  • Power and cooling requirements
  • Readiness of the data center facility
  • Security and network architecture

Typical investments range from €50,000 for small installations to several million euros for large HPC centers.

We always provide a detailed cost estimate after the initial requirements analysis.

Yes. The team works across the Baltics, the EU, and globally, with a strong focus on AI and HPC infrastructure projects. This is especially important for organizations building regional or international AI computing centers.

Build it.
Improve it.
Transform it.

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    Professional IT services and infrastructure solutions for businesses. We provide reliable technology support and managed services.

    SIA Datakom

    Maldugunu iela 2, Marupes novads, Marupe, LV-2167, LV 40103142605

    AS Luminor Bank Latvian branch, RIKOLV2X LV69RIKO0000080227272

    Office

    +371 67628888
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    Datacenter AI

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